A naukri.com initiative
Programming News
Medium
3w
35
This AI Telegram Bot Was Built to Help Shy Guys Start Conversations — But It Sparked Something…
- An AI Telegram Bot was created to help shy individuals start conversations but ended up sparking more interest.
- The bot was developed by someone who disliked repetitive tasks and aimed to make digital tools and online income more accessible without the need for constant hustling.
- The creator, who remains anonymous, created AI tools under the name 'AI Gold Rush on Gumroad' to automate tasks like content posting, blog writing, and product creation.
- The tools available include AI bots for social media posting, blog writing tools with affiliate links, ebook creation templates, and automation setups for affiliate marketing and online selling.
Read Full Article
2 Likes
Dev
3w
232
Image Credit: Dev
Weekly Challenge: The total array
- The Weekly Challenge, a coding challenge created by Mohammad S. Anwar, involves solving two tasks each week using programming languages like Python and Perl.
- Task 1 involves creating a 2D array from a given array of integers, with specified row and column values. The solutions provided use list comprehension in Python and a traditional approach in Perl.
- Task 2 requires calculating the sum of the XOR values for all possible subsets of an array of integers. The solutions iterate through combinations of items to compute XOR values in both Python and Perl.
Read Full Article
13 Likes
Dev
3w
109
Image Credit: Dev
Django Interview Questions & Key Concepts – Part 1
- Django is a high-level Python web framework created to make web development faster and more maintainable.
- Key Differences between Django and Flask: Django has a steeper learning curve, a more structured project organization, a built-in admin interface, and its own templating engine.
- Django vs. Flask: Django comes with its ORM and supports multiple databases, while Flask requires developers to choose their ORM.
- Companies such as NASA, Boeing, Atlassian, Pinterest, and Instagram use Django for its rapid development, security features, and scalability.
Read Full Article
6 Likes
Dev
3w
399
Image Credit: Dev
Building a Strong Angular Portfolio: Beyond Code Samples
- Building a strong Angular portfolio requires showcasing design sensibility, problem-solving skills, and technical excellence beyond code samples.
- Portfolios should demonstrate user experience focus, project structure expertise, CRUD implementation, and form handling proficiency.
- Quality over quantity is emphasized, urging developers to focus on 3–5 substantial projects to tell compelling stories.
- Storytelling in portfolios should highlight problem context, decision rationale, process transparency, visual progression, measurable outcomes, and personal growth.
- UI/UX and visual flair are important, featuring thoughtful styling approaches, custom component libraries, interactive elements, case study presentations, and visual hierarchy.
- Collaboration, communication, and professionalism play vital roles in showcasing soft skills alongside technical expertise in an Angular portfolio.
- Technical excellence should be demonstrated through adherence to best practices, including code organization, performance optimization, clean code practices, security implementation, and accessibility considerations.
- Presentation and organization are crucial, requiring a clear portfolio structure, visual consistency, tailored content, accessibility, compatibility, and personal branding elements.
- Deployment, SEO, and performance considerations should be integrated into the portfolio presentation to create a lasting impression.
- Angular portfolios should focus on reusable components, maintenance expertise, aesthetics combined with functionality, performance optimizations, and technical versatility.
Read Full Article
24 Likes
Discover more
- Software News
- Web Design
- Devops News
- Open Source News
- Databases
- Cloud News
- Product Management News
- Operating Systems News
- Agile Methodology News
- Computer Engineering
- Startup News
- Cryptocurrency News
- Technology News
- Blockchain News
- Data Science News
- AR News
- Apple News
- Cyber Security News
- Leadership News
- Gaming News
- Automobiles News
Dev
3w
298
Image Credit: Dev
Building an AI Voice Assistant in 1 Minute (Mac Terminal)
- To build an AI Voice Assistant in MacOS Terminal, the process involves using OpenAI models like Whisper for speech-to-text conversion, GPT for text processing, and TTS for text-to-speech conversion.
- The setup includes exporting the OpenAI API key and running commands to record audio, convert it to text using Whisper model, process the text with GPT-3.5, and stream back the reply as speech.
- By creating a script named assist.sh, users can easily record audio, transcribe it, chat with GPT, and convert the output to speech using the TTS API. The script automates the entire process.
- The AI assistant built within MacOS Terminal can be extended for various functionalities like listening until silence, using hot-keys for activation, or integrating with an express server for better control and streaming on embedded devices.
Read Full Article
17 Likes
Medium
3w
52
Image Credit: Medium
Building a CTF Lab with LFI bug vulnerability using ExpressJS
- Building a Capture The Flag (CTF) Lab with Local File Inclusion (LFI) bug vulnerability using ExpressJS.
- Testing LFI bug vulnerability with requests like /view?q=../../../../../etc/passwd.
- Combining the LFI bug with the interface, creating a simple page listing different books.
- Successfully resolving issues with rendering packages, fixing errors, and demonstrating the working LFI bug.
Read Full Article
3 Likes
Dev
3w
248
Image Credit: Dev
You're Still Using Just One Type of Breakpoint?
- Developers often rely on basic breakpoints but there are more advanced options available in modern debuggers.
- Conditional breakpoints allow debugging based on specific conditions, like stopping only when a certain variable equals a particular value.
- Tracepoints or Logpoints enable printing messages without pausing the program, useful for observing code flow without interruptions.
- Other advanced breakpoints include Temporary Breakpoints, Dependent Breakpoints, and Data Breakpoints for more efficient debugging.
Read Full Article
9 Likes
Dev
3w
101
Image Credit: Dev
Safe Data Practices for AI Training & Inference | AI Security series
- AI Security series is focusing on safe data practices for AI training and inference, emphasizing the importance of data security in building trustworthy AI systems.
- Data plays a crucial role in AI, where threats like training data leaks, data poisoning, inference-time attacks, and logging leaks can compromise the system's integrity.
- Best practices include anonymizing user data, validating and sanitizing inputs, limiting memorization, versioning and auditing datasets for training, and implementing input filtering, token limits, response monitoring, and data logging precautions for inference.
- Tools like Presidio, Cleanlab, TextAttack, Datasette, along with suggestions for fine-tuning with user support tickets and custom data guards for pipelines, can enhance data security practices in AI applications.
Read Full Article
6 Likes
Medium
3w
638
Image Credit: Medium
JavaScript: The “Slow” Language That Actually Runs Fast
- JavaScript has a contradictory reputation - powering websites efficiently while being perceived as slow by some developers.
- The language was created in just 10 days in 1995, intended as a lightweight scripting language for web browsers, with its expanded usage beyond that not initially foreseen.
- Despite not being built for performance, JavaScript can be optimized for speed through the right mindset, tools, and coding patterns.
- Developers can enhance JavaScript performance by employing efficient practices to overcome its initial limitations.
Read Full Article
25 Likes
Dev
3w
298
Image Credit: Dev
Workflows Are Not AI Agents: Selling Lies
- The claim of Zapier having '800+ AI agents' is deemed absurd, implying the marketing of workflows as AI agents.
- Real AI agents are not mere parsers but sophisticated models capable of making decisions in real-time.
- An AI agent orchestrates decisions, handles errors, and adapts to unpredictable situations with dynamic decision-making.
- Traditional workflows lack the thinking and adaptability inherent in true AI agents.
- Language models like LLMs can be taught to return structured data like JSON, enabling dynamic decision-making.
- Teaching LLMs to output structured data in JSON format allows for more intelligent interactions and reasoning.
- The 'Read File' tool pattern exemplifies the interaction between developers, models, and structured data output by LLMs.
- True agency in AI models emerges when they can handle dynamic and unpredictable scenarios, not just follow predefined workflows.
- Contrasting workflows with agents, it's emphasized that workflows follow a predetermined structure, while agents exhibit adaptive reasoning.
- Selling '800 agents' is akin to marketing workflows, as a real agent would be a single model with adaptive tools rather than multiple individual agents.
- The recommendation is to accurately label workflows as workflows to avoid misleading marketing claims in the AI space.
Read Full Article
17 Likes
Medium
3w
122
Image Credit: Medium
The Role of Appearance vs. Personality in Professional Success
- First impressions are often based on appearance, but personality ultimately plays a more crucial role in professional success.
- Appearance is like a visual resume that helps in initial recognition, but long-term success is determined by behavior, attitude, and values.
- Studies indicate that traits like trustworthiness and competence are evaluated after the initial impression, focusing more on personality than looks.
- Skills and personality traits hold more value in the long run compared to appearance, highlighting the importance of consistency, clarity, and behavior in professional and social interactions.
Read Full Article
7 Likes
Medium
3w
13
Image Credit: Medium
Why Go Is Sticking With Its Error Handling Syntax？
- Go programmers find the error handling syntax in Go too verbose.
- The Go team officially announced that they will not introduce new proposals for error handling syntax.
- The familiar line 'if err != nil { return err }' will continue to be used in Go code.
- Despite multiple attempts over seven years, the Go team has not been successful in simplifying error handling syntax.
Read Full Article
Like
Dev
3w
413
Image Credit: Dev
💼💰 Financial Wisdom for Software Engineers: Build Code, Build Wealth
- Software engineers are advised to pay attention to their financial future and implement effective financial habits tailored for tech professionals.
- Key financial habits include automating savings, tracking net worth, understanding ESOPs, avoiding lifestyle inflation, analyzing buying vs. renting, learning about finance, and exploring alternate income sources.
- Automate savings like CI/CD pipelines, track net worth like app metrics, understand ESOPs vesting schedule and taxes, avoid lifestyle inflation by investing wisely, analyze the pros and cons of buying vs. renting a house.
- Additionally, software engineers are encouraged to learn about finance, think beyond their salary by exploring alternate income sources, and apply their mastery in systems and logic to build wealth and financial freedom.
Read Full Article
24 Likes
Dev
3w
254
Image Credit: Dev
⚡ Supercharge Your Python Learning with These 9 Weekly Newsletters
- Python Trending Weekly, a paid newsletter, stands out for its thorough descriptions, curated compilations, and reasonable pricing, earning a top recommendation.
- Python Weekly, an OG newsletter since 2012, offers a mix of content with some inconsistency but impressive longevity, receiving a high rating.
- Pycoder's Weekly, known for effort in descriptions and featuring exclusive content, is appreciated for its quality and connection to Real Python.
- Python Hub Weekly Digest excels in curation with a clean design, mixing popular and older content, making it a recommended choice.
- Django News focuses on Django-related content, monetizing through ad pricing transparency, and targeting a niche audience effectively.
- Python on Microcontrollers Newsletter caters to hardware enthusiasts, covering IoT and single-board computers, filling a niche in Python newsletters.
- This Week in Python offers a simple format with no ads, showcasing genuine enthusiasm from the creator despite minimal formatting.
- Python weekly newsletter prioritizes quantity over quality, aggregating content from various sources, with inconsistent quality.
- Awesome Python Weekly, with a long operation history but limited quality and ads, is rated as questionable for its confusing content mix.
- Diverse Python newsletters provide varied content approaches, from automation to quality focus, catering to different preferences of users.
Read Full Article
15 Likes
Dev
3w
285
Image Credit: Dev
Volatility-Based Decomposition: A System Design Example
- In system design, following rules and eventually bending them is key to expertise.
- Volatility-based decomposition is explored in this article to illustrate its benefits over functional decomposition.
- Functional decomposition can lead to flaws like clients taking on business logic responsibilities, creating maintenance and scalability issues.
- Volatility-based decomposition considers aspects like user volatility, client application needs, security procedures, notifications, storage, connections, trade items, workflows, and market feed sources.
- Identifying volatilities allows for component decomposition, ensuring flexibility and adaptability in the design.
- Components like Data Access, Storage, Notification Utility, Trade Workflow, Analysis Workflows, Feed Access, and Clients play vital roles in a volatile-based trading system design.
- Decomposing systems based on volatility reduces coupling between services and enables easier adaptation to changes and new requirements.
- The article emphasizes the importance of breaking systems based on volatility rather than function and introduces new rules to follow while designing systems.
- Readers are encouraged to follow future articles for more in-depth discussions on system design principles and volatility-driven decomposition.
- Understanding and applying volatility-based decomposition principles can lead to more robust and scalable system designs.
- Stay tuned for more insights into effective system design practices in upcoming articles.
Read Full Article
17 Likes
For uninterrupted reading, download the app